Through two NSF funded projects, the Feltus lab is collaborating with Clemson CCIT and faculty from multiple institutions to maximize data transfer through a next-generation campus network linked to the Internet2 backbone. Target data streams include NCBI and Tripal genome databases where we are identifying network bottlenecks and implement OpenFlow based software defined networking. Furthermore, the Feltus lab is actively engaged in next-generation sequence analysis workflow development through the creation of HPX-based parallel runtime environments. We are also active in graph alignment software development (G3NA). I provide bioinformatics training to the Clemson community through CCIT workshops and graduate/undergraduate courses.
Systems Genetics: By combining co-expression networks with additional biological data, the Feltus lab is discovering and validating gene sub-networks that describe groups of coordinated genes with a common function such as the expression of a quantitative phenotype. See our GeneNet Engine for details. These gene sets are candidates for multiplexed MAS.
Paleogenomics: We are also exploring how those networks have been modified over evolutionary time to meet the physiological requirements of a particular species through comparative network analysis including intra-genome analysis of paleopolyploidy events.
Bioenergy Feedstock Genetics: We are screening sorghum varieties for high hydrolysis yield potential (HYP), the maximal enzymatic conversion of biomass to sugar using biomass conversion variability in these genetic backgrounds as a guide, we are identifying secondary traits and genes underlying efficient conversion.
Want to know more?
http://www.clemson.edu/cafls/faculty_staff/profiles/FFELTUS
Systems Genetics: By combining co-expression networks with additional biological data, the Feltus lab is discovering and validating gene sub-networks that describe groups of coordinated genes with a common function such as the expression of a quantitative phenotype. See our GeneNet Engine for details. These gene sets are candidates for multiplexed MAS.
Paleogenomics: We are also exploring how those networks have been modified over evolutionary time to meet the physiological requirements of a particular species through comparative network analysis including intra-genome analysis of paleopolyploidy events.
Bioenergy Feedstock Genetics: We are screening sorghum varieties for high hydrolysis yield potential (HYP), the maximal enzymatic conversion of biomass to sugar using biomass conversion variability in these genetic backgrounds as a guide, we are identifying secondary traits and genes underlying efficient conversion.
Want to know more?
http://www.clemson.edu/cafls/faculty_staff/profiles/FFELTUS